[HTML][HTML] Machine learning–based short-term mortality prediction models for patients with cancer using electronic health record data: systematic review and critical …
Background In the United States, national guidelines suggest that aggressive cancer care
should be avoided in the final months of life. However, guideline compliance currently …
should be avoided in the final months of life. However, guideline compliance currently …
[HTML][HTML] Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review
Aim To perform a systematic review on the use of Artificial Intelligence (AI) techniques for
predicting COVID-19 hospitalization and mortality using primary and secondary data …
predicting COVID-19 hospitalization and mortality using primary and secondary data …
[HTML][HTML] A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
M Chieregato, F Frangiamore, M Morassi, C Baresi… - Scientific reports, 2022 - nature.com
COVID-19 clinical presentation and prognosis are highly variable, ranging from
asymptomatic and paucisymptomatic cases to acute respiratory distress syndrome and multi …
asymptomatic and paucisymptomatic cases to acute respiratory distress syndrome and multi …
[HTML][HTML] AI and high-grade glioma for diagnosis and outcome prediction: do all machine learning models perform equally well?
L Pasquini, A Napolitano, M Lucignani… - Frontiers in …, 2021 - frontiersin.org
Radiomic models outperform clinical data for outcome prediction in high-grade gliomas
(HGG). However, lack of parameter standardization limits clinical applications. Many …
(HGG). However, lack of parameter standardization limits clinical applications. Many …
[HTML][HTML] Predictive model for mortality in severe COVID-19 patients across the six pandemic waves
N Casillas, A Ramón, AM Torres, P Blasco, J Mateo - Viruses, 2023 - mdpi.com
The impact of SARS-CoV-2 infection remains substantial on a global scale, despite
widespread vaccination efforts, early therapeutic interventions, and an enhanced …
widespread vaccination efforts, early therapeutic interventions, and an enhanced …
[HTML][HTML] Application of a decision tree model to predict the outcome of non-intensive inpatients hospitalized for COVID-19
M Giotta, P Trerotoli, VO Palmieri, F Passerini… - International Journal of …, 2022 - mdpi.com
Many studies have identified predictors of outcomes for inpatients with coronavirus disease
2019 (COVID-19), especially in intensive care units. However, most retrospective studies …
2019 (COVID-19), especially in intensive care units. However, most retrospective studies …
[HTML][HTML] Generalizable machine learning approach for COVID-19 mortality risk prediction using on-admission clinical and laboratory features
We aimed to propose a mortality risk prediction model using on-admission clinical and
laboratory predictors. We used a dataset of confirmed COVID-19 patients admitted to three …
laboratory predictors. We used a dataset of confirmed COVID-19 patients admitted to three …
Multifactor data analysis to forecast an individual's severity over novel COVID‐19 pandemic using extreme gradient boosting and random forest classifier algorithms
AI and machine learning are increasingly often applied in the medical industry. The COVID‐
19 epidemic will start to spread quickly over the planet around the start of 2020. At hospitals …
19 epidemic will start to spread quickly over the planet around the start of 2020. At hospitals …
[HTML][HTML] An overview for monitoring and prediction of pathogenic microorganisms in the atmosphere
Abstract Corona virus disease 2019 (COVID-19) has exerted a profound adverse impact on
human health. Studies have demonstrated that aerosol transmission is one of the major …
human health. Studies have demonstrated that aerosol transmission is one of the major …
eXtreme Gradient Boosting-based method to classify patients with COVID-19
A Ramón, AM Torres, J Milara… - Journal of …, 2022 - journals.sagepub.com
Different demographic, clinical and laboratory variables have been related to the severity
and mortality following SARS-CoV-2 infection. Most studies applied traditional statistical …
and mortality following SARS-CoV-2 infection. Most studies applied traditional statistical …